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Scorecasting: The Hidden Influences Behind How Sports Are Played and Games Are Won Kindle Edition
Drawing from Moskowitz's original research, as well as studies from fellow economists such as bestselling author Richard Thaler, the authors look at: the influence home-field advantage has on the outcomes of games in all sports and why it exists; the surprising truth about the universally accepted axiom that defense wins championships; the subtle biases that umpires exhibit in calling balls and strikes in key situations; the unintended consequences of referees' tendencies in every sport to "swallow the whistle," and more.
Among the insights that Scorecasting reveals:
• Why Tiger Woods is prone to the same mistake in high-pressure putting situations that you and I are
• Why professional teams routinely overvalue draft picks
• The myth of momentum or the "hot hand" in sports, and why so many fans, coaches, and broadcasters fervently subscribe to it
• Why NFL coaches rarely go for a first down on fourth-down situations--even when their reluctance to do so reduces their chances of winning.
In an engaging narrative that takes us from the putting greens of Augusta to the grid iron of a small parochial high school in Arkansas, Scorecasting will forever change how you view the game, whatever your favorite sport might be.
- LanguageEnglish
- PublisherCrown Archetype
- Publication dateJanuary 19, 2011
- File size3713 KB
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Review
—Steven D. Levitt, Alvin H. Baum Professor of Economics, University of Chicago, and co-author of Freakonomics and SuperFreakonomics
"I love this book. If I told you why, the NBA would fine me again."
—Mark Cuban, owner of the Dallas Mavericks
“Scorecasting is both scholarly and entertaining, a rare double. It gets beyond the cliched narratives and tried-but-not-necessarily-true assumptions to reveal significant and fascinating truths about sports.”
—Bob Costas
"A counterintuitive, innovative, unexpected handbook for sports fans interested in the truths that underpin our favorite games. With their lively minds and prose, Moskowitz and Wertheim will change the way you think about and watch sports. Not just for stats nerds, Scorecasting enlightens and entertains. I wish I had thought of it!"
—Jeremy Schaap, ESPN reporter, Author of Cinderella Man.
"(Sports + numbers) x great writing = winning formula. A must read for all couch analysts."
—Richard Thaler, Professor of Behavioral Science and Economics, best-selling author of Nudge.
“Scorecasting will change the way you watch sports, but don’t start reading it during a game; you’re liable to get lost in it and miss the action. I’m not giving anything away because you’ll want to read exactly how they arrived at their conclusions."
—Allen Barra, NJ Star Ledger
“Like Moneyball and Soccernomics before it, Scorecasting crunches the numbers to challenge notions that have been codified into conventional sports wisdom.”
—Wired Magazine
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About the Author
L. JON WERTHEIM is a senior writer for Sports Illustrated, a recent Ferris Professor at Princeton, and the author of five books, including Strokes of Genius: Federer, Nadal, and the Greatest Match Ever Played.
For more information go to scorecasting.com
Excerpt. © Reprinted by permission. All rights reserved.
THE CURSE OF THE NO. 1 DRAFT PICK
In 2004 Richard Thaler, a professor of behavioral economics at the University of Chicago, and Cade Massey at Yale were watching the NFL draft. With the first pick, the Chargers chose quarterback Eli Manning, the brother of perhaps the best quarterback in the league, Peyton Manning, and the son of longtime NFL quarterback Archie Manning. The Giants held the number four pick and were in the market for a premier quarterback as well. It was no secret they coveted Manning.
During the 15 minutes the Giants had to make their selection, they were ambushed with two very different options. Option 1 was to make a trade with San Diego in which the Giants would first draft Philip Rivers — considered the second best quarterback in the draft — and then swap him for Manning plus give up their third-round pick (number 65) that year as well as their first- and fifth-round picks in the 2005 draft. Option 2 was to trade down with the Cleveland Browns, who held the seventh pick and also wanted a quarterback. At number seven, the Giants probably would draft the consensus third best quarterback in the draft, Ben Roethlisberger. In exchange for moving down, the Giants would also receive from Cleveland their second round pick (number 37) that year.
The Giants chose the first option, which meant they effectively considered Manning to be worth more than Roethlisberger and four additional players.
To the two economists, however, this seemed like an extraordinarily steep price. But after collecting data from the NFL draft over the previous 13 years and looking at trades made on draft day as well as the compensation — salaries plus bonuses — paid to top picks, they found that the Manning trade was anything but unusual. As a matter of routine, if not rule, teams paid huge prices in terms of current and future picks to move up in the draft. They also paid dearly for contracts with those players.
Not only did Manning cost the Giants four other players — one of whom turned out to be All Pro linebacker Shawne Merriman — but he was also given a six-year, $54-million contract. Compare this to Roethlisberger’s compensation. Ultimately drafted 11th by the Steelers, he received $22.26 million over six years.
Thaler and Massey found that historically, the number one pick in the draft is paid about 80% — 80%! — more than the 11th pick on the initial contract. The economists also found that the inflated values teams were assigning to high picks were remarkably, if not unbelievably, consistent. No matter the circumstances or a team’s needs, teams routinely assigned the same value to the same pick.
Thaler and Massey compared the values teams placed on picks — either in terms of the picks and players they gave up or in terms of compensation — with the actual performance of the players. They then compared those numbers with the performance of the players given up to get those picks. For example, in the case of Manning, how did his performance over the next five years compare with that of Rivers plus the performances of the players chosen with the picks the Giants gave San Diego? Likewise, how did those numbers stack up against Ben Roethlisberger’s stats and those of the players the Giants could have had with the additional picks they would have received from Cleveland?
The economists looked at each player’s probability of making the roster, his number of starts, and his likelihood of making the Pro Bowl. They found that higher picks were better than lower picks on average and that first rounders on average post better numbers than second rounders, who in turn post better stats than third-round draft picks, and so on.
The problem was that they weren’t that much better. Even looking position by position, the top draft picks are overvalued. How much better is the first quarterback or receiver taken than the second or third quarterback or receiver? Not much. The researchers concluded the following:
• The probability that the first player drafted at a given position is better than the second player drafted at the same position is only 53%, that is, slightly better than a tie.
• The probability that the first player drafted at a position is better than the third player drafted at the same position is only 55%.
• The probability that the first player drafted at a position is better than the fourth player drafted at the same position is only 56%.
In other words, selecting the consensus top player at a specific position versus the consensus fourth best player at that position increases performance, measured by the number of starts, by only 6%. And even this is understating the case, since the number one pick is afforded more chances/more starts simply because the team has invested so much money in him. Yet teams will end up paying, in terms of both players and dollars, as much as four or five times more to get that first player relative to the fourth player. Was Manning really 50% better than Rivers and twice as good as Roethlisberger? You’d be hard put to convince anyone that Manning is appreciably more valuable than Rivers or Roethlisberger; in any event, he’s certainly not twice as valuable.
Yet this pattern persists year after year. Is having the top pick in the NFL draft such a stroke of good fortune? It’s essentially a coin flip, but not in the traditional sense. Heads, you win a dime; tails, you lose a quarter. Massey and Thaler go so far as to contend that once you factor in salary, the first pick in the entire draft is worth less than the first pick in the second round.
Product details
- ASIN : B004C43GC4
- Publisher : Crown Archetype (January 19, 2011)
- Publication date : January 19, 2011
- Language : English
- File size : 3713 KB
- Text-to-Speech : Enabled
- Screen Reader : Supported
- Enhanced typesetting : Enabled
- X-Ray : Enabled
- Word Wise : Enabled
- Sticky notes : On Kindle Scribe
- Print length : 290 pages
- Page numbers source ISBN : 0307591794
- Best Sellers Rank: #857,258 in Kindle Store (See Top 100 in Kindle Store)
- #182 in Sports & Entertainment Industry (Kindle Store)
- #272 in Sports Psychology (Kindle Store)
- #342 in Sports Industry
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Scorecasting isn't a book that tells you what to believe. It's a friend in a bar suggesting that the Patriots got hosed in Superbowl XLII and would have won if the refs followed the rulebook to the letter of the law. It's the kind of friend that mentions that human element in referring is alive and well and furthermore we as fans want it to exist. It's the person that mentions that the current failings of some African-American coaches in NFL are actually a good and progressive thing.
Sports have so many sayings and beliefs that are based on numbers (offense wins games, but defense wins championships, umpires have high strike zones), but for how many of them have you actually seen the statistics that back these claims? How many times have you heard an announcer say, "Coach X should have played the percentages and punted"? It is questions like these that Scorecasting tries to uncover.
Granted, I will admit that some of the material in Scorecasting feels underdeveloped, but overall every idea and topic is well researched and presented. The book has a heavy reliance on statistics and analysis to support every claim. The book challenges so many different philosophies and common notions in sports that it's bound to cause a few arguments, and I don't believe that there can be a greater mark of excellence for a sports book than that.
TL;DR Interesting ideas, well thought out arguments, and a light and enjoyable read. It was worth every cent .
Why is there a home field advantage in all sports?
Are NFL teams properly valuing draft picks? (I thought this was the best written chapter in the book)
Rounding First (why .299 hitters in MLB are rarer, and perhaps more valuable than .300 hitters).
There are also topics included that have been discussed in other publications, including:
4th down risk aversion in NFL
The unfairness of NFL's overtime system
Icing the Kicker
Streaks in Sports (hot hands, win/loss streaks)
The book is well written and well edited. It is written at a basic level; even someone with no math background at all can quickly absorb this.
I have only one real criticism of the book. In virtually every article, there is not enough explanation of the numbers, statistics and methodology. Only conclusions are given. Time and time again, I ask myself "what was the sample size?" Or "How did you reach this conclusion?" In one section, the authors even criticised a different study on Icing the kicker due to sample size, but failed to identify how many games they studied. I wish there would have been a little less narrative, and a little more science/mathematics. For example, when the authors are analyzing the home field advantage, they include playoff games, but compensate for the home team being the better team when analyzing win rates. How did they compensate? In the section on Streaks, they conclude that a team that has won 8 games in a row (or lost 8 games in a row) is just as likely to win the next game as any other team. This is a very counterintuitive result -- any team with which had an 8-game win streak is more likely to have a winning record than one without. A team with a winning record is (usually) more likely to win the next game than a team with a losing record. But this conclusion was stated in one sentence, with no real analysis or support. Another statement in MLB home field advantage analysis I found surprising was that a home teams outscores visiting teams by 10.5 runs during an entire season. This run differential is not enough for a typical team to win 54% of its games at home; the differential should likely be much more than 10.5. What years were used to obtain this differential? This is a key number in the MLB section, because it is used to evaluate how much umpires contribute to home field advantage.
Despite my limited criticisms, most people will enjoy this book. If you are a stat geek or a big fan of a sport though, the lack of stats and methods will bother you.
Very simply, SC was incredibly enjoyable. I can't remember the last time I had this much fun reading a book. It is riveting, thought provoking, and extremely well written. Furthermore, you do not need to be a die hard sports fan to enjoy it. I follow professional sports very casually as best and I was still enthralled. Don't rely on the NY Times book review which was filled with their usual highbrow rhetoric, and was completely off base in my view.
Without spoiling anything, SC challenges commonly held beliefs about sports, and backs it up with solid data. Some of the topics include the truth about home field advantage, whether "icing" the kicker works in football, the truth about going for it on 4th down rather than punting, and the truth about "streaks" and momentum. The most striking topic, in my view, is the authors' demonstration of umpire bias in baseball, which is backed up by solid numbers and statistics. I actually found this book even more enjoyable than Freakonomics, but to be fair SC deals exclusively with sports, an inherently fun topic.
This book is so good that once it gains some traction, I feel it will be considered a modern classic. I haven't researched this yet, but I'm very curious what professional athletes and referees think of it, particularly umpires. At any rate, I'm confident you will love this book and find yourself saying "that's incredible" every 10 minutes.
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Einziges persönliches Manko: SEHR viel Baseball.
There is also info about football but if you don't understand American sports you would find huge chunks of the book a mystery. If you understand balls and strikes, the strike zone,punting on fourth down etc, you'll love it. If you follow the more traditional British sports including snooker and darts, you'd be better off with The Hidden Mathematics of Sport. Personally I love both of them.
interesting but difficult to understand if you do not possess a sport vocabulary (more precisely about baseball)
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The book is very packed with information. Around the actually expected facts and derivation possibilities for the personal betting strategy, examples from US sports are often used. So far ok, even the psychological components are covered. For sports betting a good background knowledge, which I can not use in my betting model.






